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Exponential Time Differencing Algorithm for Pulse-Coupled Hodgkin-Huxley Neural Networks
The exponential time differencing (ETD) method allows using a large time step to efficiently evolve stiff systems such as Hodgkin-Huxley (HH) neural networks. For pulse-coupled HH networks, the synaptic spike times cannot be predetermined and are convoluted with neuron's trajectory itself. This...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227390/ https://www.ncbi.nlm.nih.gov/pubmed/32457589 http://dx.doi.org/10.3389/fncom.2020.00040 |